Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Rolland
1
70 kgKangert
2
65 kgCherel
3
65 kgGoss
4
70 kgVanspeybrouck
5
76 kgSteensen
6
65 kg
1
70 kgKangert
2
65 kgCherel
3
65 kgGoss
4
70 kgVanspeybrouck
5
76 kgSteensen
6
65 kg
Weight (KG) →
Result →
76
65
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROLLAND Pierre | 70 |
| 2 | KANGERT Tanel | 65 |
| 3 | CHEREL Mikaël | 65 |
| 4 | GOSS Matthew | 70 |
| 5 | VANSPEYBROUCK Pieter | 76 |
| 6 | STEENSEN André | 65 |